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Mean-Field Backward Stochastic Volterra Integral Equations

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arxiv 1104.4725 v2 pith:LQV6K3KO submitted 2011-04-25 math.PR cs.SYeess.SYmath.OC

classification math.PRcs.SYeess.SYmath.OC
keywords mf-bsviesequationsintegralmean-fieldstochasticvolterraadaptedbackward
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Mean-field backward stochastic Volterra integral equations (MF-BSVIEs, for short) are introduced and studied. Well-posedness of MF-BSVIEs in the sense of introduced adapted M-solutions is established. Two duality principles between linear mean-field (forward) stochastic Volterra integral equations (MF-FSVIEs, for short) and MF-BSVIEs are obtained. As applications, a multi-dimensional comparison theorem is proved for adapted M-solutions of MF-BSVIEs and a maximum principle is established for an optimal control of MF-FSVIEs.

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  1. Singular mean-field backward stochastic Volterra integral equations in infinite dimensional spaces

    math.PR 2024-11 conditional novelty 6.0 of 10

    Existence and uniqueness of adapted M-solutions is proved for singular mean-field BSVIEs in Hilbert spaces, with an application to stochastic maximum principles.

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